Fruit maturity and location identification of beef tomato using R-CNN and binocular imaging technolo...
Fruit maturity and location identification of beef tomato using R-CNN and binocular imaging technology
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Publisher
New York: Springer US
Journal title
Language
English
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Publication information
Publisher
New York: Springer US
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Scope and Contents
Contents
The objective of this study was to identify the maturity and position of tomatoes in greenhouse. Three parts have been included in this study: building the model of image capturing and object detection, position identification of mature fruits and prediction of the size of the mature fruits. For the first part, image capturing in different time and...
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Full title
Fruit maturity and location identification of beef tomato using R-CNN and binocular imaging technology
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TN_cdi_proquest_journals_2582477504
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2582477504
Other Identifiers
ISSN
2193-4126
E-ISSN
2193-4134
DOI
10.1007/s11694-021-01074-7
